Anyi Wang

Ocean University of China, Xi'an University of Science and Technology

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About

Anyi Wang is a researcher whose work lies at the intersection of bio-inspired robotics, underwater sensing, and intelligent control systems. Their most significant contribution is a comprehensive review of the Artificial Lateral Line (ALL), a sensor system that mimics the fish’s natural ability to sense water movements and navigate in dark, complex environments. This seminal paper, published in 2016 and garnering 78 citations, has become a foundational reference for advancing underwater robot navigation and sensor fabrication, directly impacting the development of more agile and autonomous robot fish. Beyond bio-inspired sensing, Wang explores modern control theory, investigating the fusion of sliding mode control with reinforcement learning to create robust, adaptive controllers for uncertain robot manipulators. This work, published in 2024, signals a forward-looking approach to enhancing robot stability and disturbance rejection. While their broader work includes comparative studies on robot navigation, Wang’s primary impact is in bridging biological sensing principles with practical robotic applications, establishing a key pathway for next-generation autonomous underwater vehicles.